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kalshi Security Audit Report

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kalshi is an AI agent skill, created by henrik-openclaw and published at openclaw/skills. ClawSecure audited kalshi across 5 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 75/100 (Medium Risk). The 5 findings concentrate in Data Exfiltration, Policy Violation and Unauthorized Tool Use, including Pattern detected: open(key_path) and Pattern detected: import requests. 1 was rated high or critical severity.

Is kalshi safe?

ClawSecure audited kalshi and assigned a security score of 75/100 (Medium Risk), identifying 5 findings across Data Exfiltration and Policy Violation. Review the findings below before installing.

What did ClawSecure find in kalshi?

ClawSecure identified 5 findings in kalshi, concentrated in Data Exfiltration, Policy Violation and Unauthorized Tool Use. 1 was rated high or critical severity. The most severe include Pattern detected: open(key_path) and Pattern detected: import requests.

How was kalshi audited?

ClawSecure ran kalshi through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 5 files from openclaw/skills.

What does a score of 75 mean?

ClawSecure assigned kalshi a security score of 75/100, placing it in the Medium Risk range. This reflects 5 findings led by Data Exfiltration that warrant review before production use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for kalshi

ClawSecure detected 5 security findings in kalshi, spanning Data Exfiltration, Policy Violation, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for kalshi

Audit external network connections
kalshi sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.
Resolve policy violations
kalshi trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.
Pin dependencies to exact versions
Unpinned dependencies allow supply-chain attacks where a compromised version is pulled in automatically. Use exact version numbers in package.json (for example 1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.

Related Security Research

ClawHavoc Explained: The Malware Family Targeting AI AgentsBeyond Static Scans: Why ClawSecure Verifies Agentic IntentOWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards

Related AI Agent Security Audits

skillsScore 85/100openclaw-skillsScore 85/100crewAIScore 65/100remindctlScore 69/100GitNexusScore 75/100

Scanned on February 7, 2026. kalshi is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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